Machine and human emotion classification diverge for naturalistic images

Abstract excerpt

<p>The pursuit of affective computing aims to endow machines with the ability to read and respond to human emotions. Unfortunately, several high-profile publicly available machine classifiers are based on psychological theory that over-emphasises the prototypical, morphological features of six or seven basic emotional expressions. This approach is poorly suited to the complex and nuanced repertoire of naturalistic...

Topics

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• Adaptation, Biological
• Biological Evolution
• Facial Expression
• Facies
• Interpersonal Relations
• Phenotype
• Phylogeny
• Primates

Identifiers and source

Literature Corpus work

bd9e0dda-db15-57f0-9862-e9e25f64bd2b

DOI

10.31234/osf.io/fa2mb